Digital Signal Processing with Matlab Examples, Volume 2 by Jose Maria Giron-Sierra

By Jose Maria Giron-Sierra

 

This is the second one quantity in a trilogy on glossy sign Processing. the 3 books supply a concise exposition of sign processing subject matters, and a consultant to aid person sensible exploration according to MATLAB programs.

This moment publication specializes in fresh advancements based on the calls for of latest electronic applied sciences. it's divided into elements: the 1st half contains 4 chapters at the decomposition and restoration of signs, with unique emphasis on photographs. In flip, the second one half contains 3 chapters and addresses vital data-based activities, reminiscent of adaptive filtering, experimental modeling, and classification.

 

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Digital Signal Processing with Matlab Examples, Volume 2 Decomposition, Recovery, Data-Based Actions

 This is the second one quantity in a trilogy on smooth sign Processing. the 3 books supply a concise exposition of sign processing subject matters, and a consultant to aid person sensible exploration in accordance with MATLAB courses. This moment publication makes a speciality of contemporary advancements based on the calls for of recent electronic applied sciences.

Additional info for Digital Signal Processing with Matlab Examples, Volume 2 Decomposition, Recovery, Data-Based Actions

Example text

32 xxxix FunctionANeigf() . . . . . . . . . . . . . . . . . . . Color reduction using K-means . . . . . . . . . . . . . . Function Palette() . . . . . . . . . . . . . . . . . . . Modulated filters: analysis and synthesis . . . . . . . .

Coherence between system output and noise input . . . . . . . Phase of pure time delay . . . . . . . . . . . . . . . . Noise and pure time delay . . . . . . . . . . . . . . . . Cross correlation in noise and pure time delay . . . . . . . . Frequency response estimation in noise and pure time delay . . . Approximation of delay by transfer function . . . . . . . . . Transfer functions for study: impulse response . . . . . . .

4) In the same line as the DTFT, the DFT Y (k) can be also described as the evaluation of Y (z) on the unit circle at points z k . Y (k) is periodic with period N . The points z k are the Nth roots of unity: zk = e j ωk = e j 2πk N (k = 0, 1, 2 . . 5) 6 1 Filter Banks exp (j ωo n) Y(0) exp (j ω1 n) Y(1) exp (j ωN-1 n) Y(N-1) Σ N y(n) Fig. 7) k=0 This last equation can be considered as the sum of the outputs of N filters; the k-filter would have exp(j ω k n) as complex sinusoidal input and Y (k) exp(j ω k n) as output.

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